Browsing Industrial Engineering by Title
Now showing items 53-72 of 217
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A decomposition based metaheuristic approach for solving rapid needs assessment routing problem
(Elsevier, 2021-09)This paper proposes a decomposition based tabu search algorithm for solving multi-cover routing problem in the case of rapid need assessment. Rapid needs assessment aims to evaluate impact of a disaster at different sites ... -
A decomposition-based heuristic for a waste cooking oil collection problem
(Springer, 2020-01-01)Every year, a tremendous amount of waste cooking oil (WCO) is produced by households and commercial organizations, which poses a serious threat to the environment if disposed improperly. While businesses such as hotels and ... -
Deep reinforcement learning approach for trading automation in the stock market
(IEEE, 2022)Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable problems. The automation of profit generation in the stock market is possible using DRL, by combining the financial assets price 'prediction' ... -
Delegation vs. control of component procurement under asymmetric cost information and simple contracts
(Informs, 2013)A manufacturer must choose whether to delegate component procurement to her tier 1 supplier or control it directly. Because of information asymmetry about suppliers’ production costs and the use of simple quantity discount ... -
Demand-driven electricity supply options of electric vehicles: modelling, simulation, and management strategy of public charging stations
(Springer, 2021-10-13)In this chapter, we discuss the challenges and research opportunities in the demand-driven electricity supply options of electric vehicles (EVs) at public charging stations (CSs). EVs have gained increased attention in ... -
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Design and analysis of a continuous optoelectronic pulse wave velocity blood pressure sensor with multiple-subject controlled experiments
(Elsevier, 2022-10-16)Goal: The main purpose of this study is to perform the pulse wave velocity (PWV) measurements with a new noninvasive optoelectronic continuous-time wearable sensor design and to analyze the quantitative relation between ... -
Designing an efficient gradient descent based heuristic for clusterwise linear regression for large datasets
(Springer, 2021)Multiple linear regression is the method of quantifying the effects of a set of independent variables on a dependent variable. In clusterwise linear regression problems, the data points with similar regression estimates ... -
Detecting credit card fraud by modified Fisher discriminant analysis
(Elsevier, 01.04.2015)In parallel to the increase in the number of credit card transactions, the financial losses due to fraud have also increased. Thus, the popularity of credit card fraud detection has been increased both for academicians and ... -
Developing a collaborative planning framework for sustainable transportation
(Hindawi Publishing, 2014)Currently, as being the highest petroleum consuming sector in the world, transportation significantly contributes to the total greenhouse gas emissions in the world. Road transportation not only is responsible for approximately ... -
Developing a national pandemic vaccination calendar under supply uncertainty
(Elsevier, 2024-04)During the COVID-19 pandemic, many countries faced challenges in developing and maintaining a reliable national pandemic vaccination calendar due to vaccine supply uncertainty. Deviating from the initial calendar due to ... -
Development of lower bounds for the scheduling of setup tasks in serial production lines
(Inderscience Publishers, 2013)Efficient production resettings are necessary to achieve production flexibility. For this reason, it is of primary importance to reduce the setup time required to switch the production from one product type to another, and ... -
Disaster preparedness using risk-assessment methods from earthquake engineering
(Elsevier, 2018-09-01)Analyzing the uncertainties associated with disaster occurrences is critical to make effective disaster preparedness plans. In this study, we focus on pre-positioning emergency supplies for earthquake preparedness. We ... -
Discrepancy search for the flexible job shop scheduling problem
(Elsevier, 2010-12)The flexible job shop scheduling problem (FJSP) is a generalization of the classical job shop problem in which each operation must be processed on a given machine chosen among a finite subset of candidate machines. The aim ... -
Discrete time/cost trade-off problem: a decomposition-based solutionalgorithm for the budget version
(Elsevier, 2010-04)This paper investigates the budget variant of the discrete time/cost trade-off problem (DTCTP). This multi-mode project scheduling problem requires assigning modes to the activities of a project so that the total completion ... -
Drone routing for post-disaster damage assessment
(Springer, 2021)We consider drones to support post-disaster damage assessment operations when the disaster-affected area is divided into grids and grids are clustered based on their attributes. Specifically, given a set of drones and a ... -
Dynamic facility location with supplier selection under quantity discount
(Elsevier, 2019-08)Retailers have to consider several factors when making facility location decisions including suppliers' and customers' locations, customer demand and price offered by suppliers. In this study, we analyze the multi-period ... -
Economic lot sizing problem with inventory dependent demand
(Springer Nature, 2020-11)We consider an economic lot sizing problem where the demand in a period is a piecewise linear and concave function of the amount of the available inventory after production in that period. We show that the problem isNPhard ... -
Economic lot sizing problem with tank scheduling
(Elsevier, 2023-07-01)We introduce a multiple-item economic lot sizing problem where items are produced through the fermentation of some raw materials. Fermentation takes place in specialized tanks that have finite capacities, and duration of ... -
The effect of few historical data on the performance of sample average approximation method for operating room scheduling
(Wiley, 2023-01)We model the scheduling problem of a single operating room for outpatient surgery, with uncertain case durations and an objective function comprising waiting time, idle time, and overtime costs. This stochastic scheduling ...
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